Application of Temperature Prediction Model Based on LSTNet in Telecommunication Room

Chun-Hsiang Lee, Saisai Yang, Yongqiang Fan, X. Lin, Hongfeng Tao, Chao Wu
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引用次数: 2

Abstract

In this paper, we present an application of a temperature prediction model based on the Long- and Short-term Time-series network (LSTNet). The model allows predicting the indoor temperature for the next 20 to 60 minutes based on the operating status of the telecommunications room and the outdoor weather condition. In addition, we propose a mechanism for the automatic model update that is triggered when the accuracy of the prediction model is reduced or when the telecommunications room equipment is replaced.
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基于LSTNet的温度预测模型在电信机房中的应用
本文介绍了一种基于长短期时间序列网络(LSTNet)的温度预测模型的应用。该模型可以根据通信室的运行状态和室外天气状况,预测未来20 ~ 60分钟的室内温度。此外,我们还提出了一种预测模型精度降低或电信机房设备更换时触发模型自动更新的机制。
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